Chris Bay

Chris Bay is a Researcher IV in Mechanical Engineering at the National Renewable Energy Laboratory (NREL), specializing in wind plant optimization and control algorithms. His work focuses on distributed optimal control, turbine layout optimization, and resilient energy systems.

Education:

• PhD in Mechanical Engineering from Texas A&M University
• Master’s and Bachelor’s in Mechanical Engineering from University of Colorado Boulder

Research Interests:

• Design of control and optimization algorithms for wind plants, building energy systems, and grid integration
• Core developer of FLORIS, a steady-state flow modeling tool
• Hybrid renewable energy systems and resilient energy infrastructure

Recent Research Trends:

• 2025 publications highlight advancements in reinforcement learning for energy systems
• Development of the FLOWERS AEP model for fast annual energy production estimation
• Focus on Gaussian wake modeling and hybrid system optimization
• Collaborative work on load assessment for wind turbines with yaw misalignment

Professional Activities:

• Active member of the American Institute of Aeronautics and Astronautics (AIAA)
• Member of the American Society of Mechanical Engineers (ASME)